How to run object detection on an ESP-EYE using Edge Impulse.

Plug your ESP-EYE into your PC's USB port then type in this:

# Clone repo, enter, and run
git clone https://github.com/JimothyJohn/uEye && cd uEye && ./Quickstart.sh

This code has only been tested on the ESP-EYE module.

• PlatformIO

• Create your model using Edge Impulse.

• Due to the board limitations you will need to train your model with 96x96 images and use the MobileNetV1 0.01:*

  

• Download the Arduino library under the Deployment tab in the Edge Impulse studio

  

• Save the .zip library you downloaded to lib/

  • Add library location to platformio.ini if needed

    lib_deps =
      lib/<your-project>.zip

• Compile and deploy the code to your board

  pio run -t upload && pio device monitor

• TinyML ESP32-CAM: Edge Image classification with Edge Impulse
• https://github.com/v12345vtm/esp32-cam-webserver-arduino-simplified-arduino-html
• ESP32-CAM
• ESP-EYE

• Establish separate endpoints for image, predictions, and metrics
• Convert to async webserver
• Add telemetry for location via 6-axis transformations